HW/SW Co-Design Engineer
HW/SW Co-Design Engineer
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USD 350000 - 530000
1 Vacancy
Job Description
About the Team
Our mission at OpenAI is to discover and enact the path to safe beneficial AGI. To do this we believe that many technical breakthroughs are needed in generative modeling reinforcement learning large scale optimization active learning among other topics.
The Research Platform team builds robust and scalable software to support our research efforts. It also offers core development services for mission critical goals and applications.
Were forming a new team to work with our partners on hardware optimization and co-design and are looking for founding engineers. This team will be responsible for working with partners to optimize their hardware for our workloads identifying promising new deep learning accelerators and bringing those hardware platforms to production.
About the Role
As an Engineer on our Hardware Team you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel compiler and machine learning engineers to understand their needs related to ML techniques algorithms numerical approximations programming expressivity and compiler optimizations. You will evangelize these constraints with various vendors to develop future hardware architectures amenable for efficient training and inference. If you are excited about maximizing HBM bandwidth optimizing for low arithmetic intensity expressive SIMD ISA low-precision formats optimizing for memory hierarchies simulating workloads at various resolutions of the hardware and evangelizing these ideas with hardware engineers this is the perfect opportunity!
This role is based in San Francisco CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role you will:
Co-design future hardware for programmability and performance with our hardware vendors
Assist hardware vendors in developing optimal kernels and add support for it in our compiler
Develop performance estimates for critical kernels for different hardware configurations
Work with machine learning engineers kernel engineers and compiler developers to understand their vision and needs from high performance accelerators
Manage communication and coordination with internal and external partners
Influence the roadmap of hardware partners to optimize them for OpenAIs workloads.
Evaluate potential partners accelerators and platforms.
Build simulations and performance models to progressively improve decision making fidelity.
As the scope of the role and team grows understand and influence roadmaps for hardware partners for our datacenter networks racks and buildings.
You might thrive in this role if you:
4 years of industry experience including experience harnessing compute at scale or building semiconductors.
Strong experience in software/hardware co-design
Deep understanding of GPU and/or other AI accelerators
Experience with CUDA or a related accelerator programming language
Experience driving Machine Learning accuracy with low precision formats
Experience aligning future hardware with a well established HPC infrastructure
Are familiar with the fundamentals of deep learning computing and chip microarchitecture.
Able to actively collaborate with ML engineers kernel writers and compiler developers
These attributes are nice to have:
PhD in Computer Science and Engineering with a specialization in Computer Architecture Parallel Computing. Compilers or other Systems
Strong coding skills in C/C and Python
Strong understanding of LLMs and challenges related to their training and inference
Benefits and Perks
Medical dental and vision insurance for you and your family
Mental health and wellness support
401(k) plan with 4% matching
Unlimited time off and 18 company holidays per year
Paid parental leave (20 weeks) and family-planning support
Annual learning & development stipend ($1500 per year)
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.
For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public information. In addition job duties require access to secure and protected information technology systems and related data security obligations.
We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Employment Type
Full-Time
